On the sufficient conditions for the stability of nonlinear continuous neural networks

Abstract

Based on the Maxwell minimum heating theorem and the stability criteria of continuous autonomous dynamic networks, the sufficient conditions for a stable content-addressable memory (CAM) neural network model are established. An example is given to illustrate the effect of the circuit parameters on the stability on the CAM neural network simulated by electronic devices. The approach presented should be helpful in stability analyses of other nonlinear continuous neural networks.<>